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Oracle 1z0-1084-26 Exam Syllabus Topics:

SectionWeightObjectives
Leveraging Serverless Technologies for Cloud Native Development33%- Oracle Functions
  • 1. Develop serverless applications with Oracle Functions
    - OCI Events
    • 1. Build event-driven serverless applications
      - OCI Streaming
      • 1. Use streaming for serverless and managed application architectures
        • 2. Integrate systems using OCI Streaming
          - API Gateway
          • 1. Process traffic from API clients
            • 2. Route API traffic to backend services
              - OCI Queue
              • 1. Implement asynchronous messaging for microservices
                Monitoring and Troubleshooting Cloud Native Applications10%- OCI Monitoring
                • 1. Use OCI Monitoring to view metrics
                  - OCI Logging
                  • 1. Enable and manage logs
                    • 2. Search and analyze logs
                      - Monitoring, Logging, and Tracing
                      • 1. Perform monitoring, logging, and tracing tasks
                        • 2. Troubleshoot cloud native applications
                          Cloud Native Applications and Containerization33%- Docker and Containerization
                          • 1. Containerization concepts
                            • 2. Docker architecture and components
                              - Container Orchestration
                              • 1. Deploy containerized applications on Oracle Kubernetes Engine
                                • 2. Role of container orchestration
                                  - Oracle Cloud Infrastructure Registry
                                  • 1. Pull container images from OCIR
                                    • 2. Push container images to OCIR
                                      Cloud Native Fundamentals11%- Microservices Architecture
                                      • 1. Microservices architecture
                                        • 2. Microservices design methodology
                                          - Cloud Native Principles
                                          • 1. Fundamentals of cloud native development
                                            • 2. Key pillars of cloud native development
                                              Testing and Securing Cloud Native Applications13%- Cloud Native Testing
                                              • 1. Cloud native testing methodologies
                                                • 2. Testing strategies for cloud native applications
                                                  - Cloud Native Security
                                                  • 1. Manage sensitive configuration information
                                                    • 2. Apply security measures for cloud native development
                                                      • 3. Use OCI Vault to securely manage encryption keys

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                                                        Oracle Cloud Infrastructure Developer Professional Sample Questions (Q172-Q177):

                                                        NEW QUESTION # 172
                                                        Which statement is NOT valid regarding the configurations and behaviors of Oracle Cloud Infrastructure (OCI) Queue?

                                                        Answer: D

                                                        Explanation:
                                                        Statement C is NOT valid because OCI Queue currently limits an individual message to256 KB, not a configurable 1 MB. Oracle ' s current functional limits specify a maximum message size of 256 KB, while a PutMessage batch request can contain up to 20 messages with a combined request size of 512 KB. Message retention can be configured from 10 seconds through seven days and cannot be changed after queue creation.
                                                        Queue-level visibility timeout ranges from one second to twelve hours, and visibility can be adjusted while processing. Oracle also documents maximum delivery attempts as configurable from 1 through 20 before failed messages are moved to the dead letter queue. Therefore, C alone contradicts the current Queue functional limits.


                                                        NEW QUESTION # 173
                                                        In the shared responsibility model, who should perform patching, upgrading, and maintaining of the worker nodes in provisioned Oracle Container Engine for Kubernetes (OKE) clusters?

                                                        Answer: B

                                                        Explanation:
                                                        In the shared responsibility model, Oracle is responsible for securing the underlying cloudinfrastructure and platform services, while customers are responsible for securing theirdata and applications within the cloud4. For provisioned OKE clusters, Oracle manages the control plane (master nodes) of the Kubernetes cluster, while customers manage the data plane (worker nodes) of the cluster5. Therefore, it is the responsibility of the customer to perform patching, upgrading, and maintaining of the worker nodes in provisioned OKE clusters5. Customers can use tools such as Terraform or kubectl to automate these tasks5.


                                                        NEW QUESTION # 174
                                                        You developed a microservices-based application that runs in an Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) cluster. It has multiple endpoints that need to be exposed to the public internet.
                                                        What is the most cost-effective way to expose multiple application endpoints without adding unnecessary complexity to the application?

                                                        Answer: D

                                                        Explanation:
                                                        An Ingress Controller is a Kubernetes resource that provides advanced routing and load balancing for your applications running on a Kubernetes cluster1. An Ingress Controller allows you to define rules that specify how to route traffic to different services in your cluster based on the host name or path of the incoming request1. By deploying an Ingress Controller and using it to expose multiple application endpoints, you can achieve the following benefits1:
                                                        * Cost-effectiveness: You only need to create one load balancer instance per cluster, instead of one per service, which reduces the cost of exposing your applications.
                                                        * Simplicity: You only need to manage one set of routing rules for all your services, instead of configuring each service separately, which simplifies the application deployment and maintenance.
                                                        * Flexibility: You can use different types of Ingress Controllers, such as NGINX or Traefik, that offer various features and customization options for your routing needs.


                                                        NEW QUESTION # 175
                                                        Which option best defines microservices?

                                                        Answer: C

                                                        Explanation:
                                                        The correct answer is: " A finely tuned piece of software that performs a single or small collection of tasks. " Microservices are a software architectural approach where a system is decomposed into small, independent services that are responsible for performing a specific set of tasks. Each microservice is designed to be focused, finely tuned, and highly cohesive, handling a single or a small collection of related tasks. This granularity allows for better scalability, maintainability, and flexibility in building complex applications. The other options provided do not accurately define microservices: An open-source system for automating deployment, scaling, and management of containerized applications refers to a container orchestration tool like Kubernetes, which can be used to manage microservices but is not a definition of microservices itself. A statically typed and compiled language describes a type of programming language characteristic and is not specific to the concept of microservices. An organized collection of structured information or data, typically stored electronically in a computer system is a definition of a database or data storage system and is unrelated to microservices.


                                                        NEW QUESTION # 176
                                                        You have two microservices, A and B, running in production. Service A relies on APIs from service B. You want to test changes to service A without deploying all of its dependencies, which include service B. Which approach should you take to test service A?

                                                        Answer: D

                                                        Explanation:
                                                        API mocking is a technique that simulates the behavior of real APIs without requiring the actual implementation or deployment of the dependent services1. API mocking allows you to test changes to service A without deploying all of its dependencies, such as service B, by creating mock responses for the APIs that service A relies on1. API mocking has several benefits, such as1:
                                                        * Faster testing: You can test your service A without waiting for service B to be ready or available, which reduces the testing time and feedback loop.
                                                        * Isolated testing: You can test your service A in isolation from service B, which eliminates the possibility of external factors affecting the test results or causing errors.
                                                        * Controlled testing: You can test your service A with different scenarios and edge cases by creating mock responses that mimic various situations, such as success, failure, timeout, etc.


                                                        NEW QUESTION # 177
                                                        ......

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